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PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin
EDBTW
2010
Springer
14 years 4 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
CIKM
2009
Springer
14 years 4 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 11 months ago
Preserving Privacy in Social Networks Against Neighborhood Attacks
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Bin Zhou 0002, Jian Pei
ERSHOV
2009
Springer
14 years 4 months ago
Privacy Preserving Modules for Ontologies
Abstract. Data privacy is an important application of ontology modularization. The aim is to publish one module while keeping the information of another module private. We show how...
Thomas Studer